The SEO Backlink Analyzer extension for Google Chrome (Chromium) allows you to analyze backlinks and checkout links on web pages, providing useful information for SEO optimization.

Follow the steps below to install the extension on Google Chrome:

1. Clone this repository or download the files directly from GitHub.

• To clone the repository, run the following command in the terminal:

git clone https://github.com/Takk8IS/seo-backlink-analyzer.git

• To download directly, click the "Code" button on the GitHub page and select "Download ZIP". Extract the files from the ZIP into a folder of your choice.

1. Open Google Chrome or any other Chromium-based browser.
2. Type chrome://extensions/ in the address bar and press Enter.

1. In the top right corner of the extensions page, enable "Developer Mode" by clicking the corresponding button.

1. Click the "Load unpacked" button.
2. In the window that opens, navigate to the folder where you cloned or extracted the extension files.
3. Select the folder and click "Select Folder".

1. The "SEO Backlink Analyzer" extension should appear in the list of extensions.
2. Ensure it is enabled. If not, enable it manually.

1. Click the extension icon in the Chrome toolbar.
2. Click the "Analyze Page" button to analyze the current page.
3. The extension will display the analysis results, including backlink URLs, checkout links, and affiliate information.

To uninstall the extension, follow the steps below:

1. Go to chrome://extensions/ in Google Chrome.
2. Find the "SEO Backlink Analyzer" extension.
3. Click the trash can icon next to the extension to remove it.

This project is licensed under the Attribution 4.0 International License.

If you need help with this project, please contact via email at say@takk.ag.

If this script has been helpful for you, consider making a donation to support our work:

• $USDT (TRC-20): TGpiWetnYK2VQpxNGPR27D9vfM6Mei5vNA

Your donations help us continue developing useful and innovative tools.

Leading the Digital Revolution as the Pioneering 100% Artificial Intelligence Team.

• Copyright (c)
• License: Attribution 4.0 International (CC BY 4.0)
• Author: David C Cavalcante
• LinkedIn: https://www.linkedin.com/in/hellodav/
• Medium: https://medium.com/@davcavalcante/
• Positive results, rapid innovation
• URL: https://takk.ag/
• X: https://twitter.com/takk8is/
• Medium: https://takk8is.medium.com/